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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Continuous phase modulation with 1-bit quantization and oversampling using iterative detection and decoding

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Author(s):
de Alencar, Rodrigo R. M. [1] ; Landau, Lukas T. N. [1] ; de Lamare, Rodrigo C. [1]
Total Authors: 3
Affiliation:
[1] Pontificia Univ Catolica Rio de Janeiro, Ctr Estudos Telecomunicacoes, BR-22453900 Rio De Janeiro - Brazil
Total Affiliations: 1
Document type: Journal article
Source: EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING; v. 2020, n. 1 DEC 20 2020.
Web of Science Citations: 0
Abstract

A channel with continuous phase modulation and 1-bit ADC with oversampling is considered. Due to oversampling, higher-order modulations yield a higher achievable rate and this study presents methods to approach this with sophisticated channel coding. Iterative detection and decoding is considered, which exploits the soft information extracted from oversampled CPM sequences. Besides the strategy based on conventional channel coding techniques, a tailored bit mapping is proposed where two bits can be detected reliably at high SNR and only the third bit is affected by the uncertainties from the coarse quantization. With this, a convolutional code is only applied to the third bit. Our experiments with a turbo receiver show that the iterative detection and decoding is a promising approach for exploiting the additional information brought by oversampling. Moreover, it is shown that the proposed method based on the tailored bit mapping corresponds to a lower bit error rate in comparison with the case of conventional channel coding. (AU)

FAPESP's process: 15/24499-0 - Cloud radio access networks for 5th generation wireless communications: new concepts, algorithms and applications
Grantee:Rodrigo Caiado de Lamare
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 18/12579-7 - ELIOT: enabling technologies for IoT
Grantee:Vitor Heloiz Nascimento
Support Opportunities: Research Projects - Thematic Grants